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SJT 2B V1.1 by Sakalti

 »  All LLMs  »  Sakalti  »  SJT 2B V1.1   URL Share it on

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  Merged Model   Arxiv:2306.01708   Autotrain compatible Base model:finetune:prithivmlm...   Base model:prithivmlmods/gwq2b   Conversational   Endpoints compatible   Gemma2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Sakalti/SJT-2B-V1.1 

SJT 2B V1.1 Benchmarks

MMLU Pro: 12.49
GPQA: 2.35
MUSR: 12.54
BBH: 15.55
IFEval: 39.77 vs 88 (so35)-54.8%
MATH Lvl 5: 4.83
LLME Score: 0.26632
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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SJT 2B V1.1 Parameters and Internals

LLM NameSJT 2B V1.1
Repository 🤗https://huggingface.co/Sakalti/SJT-2B-V1.1 
Base Model(s)  rinna/gemma-2-Baku-2b-it   GWQ2b   rinna/gemma-2-Baku-2b-it   prithivMLmods/GWQ2b
Merged ModelYes
Model Size2b
Required VRAM5.3 GB
Updated2025-06-09
MaintainerSakalti
Model Typegemma2
Model Files  1.2 GB: 1-of-6   1.0 GB: 2-of-6   1.0 GB: 3-of-6   1.0 GB: 4-of-6   1.0 GB: 5-of-6   0.1 GB: 6-of-6
Model ArchitectureGemma2ForCausalLM
Licensegemma
Context Length8192
Model Max Length8192
Transformers Version4.46.3
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typefloat16
SJT 2B V1.1 (Sakalti/SJT-2B-V1.1)

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Note: green Score (e.g. "73.2") means that the model is better than Sakalti/SJT-2B-V1.1.

Rank the SJT 2B V1.1 Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
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Multi-Language Support and Translation  

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Release v20241124
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